Discovering traffic congestion through traffic flow patterns generated by moving object trajectories

Kohan, Mariano; Ale, Juan M.

doi:10.1016/j.compenvurbsys.2019.101426

Cited by 23 publications

(10 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The traffic state is an objective reflection of the traffic flow, that is, the traffic state and the traffic flow characteristic index are essentially a mapping relationship [65][66][67]. As the existing congestion identification methods are all based on the movement regularity of traffic flow as the breakthrough point, through the statistical characteristics of traffic flow indicators, induction, and abstraction, and then establish the corresponding discrimination formula and conditions for identification.…”

Section: Conceptual Backgroundmentioning

confidence: 99%

“…At present, although scholars from all over the world have conducted considerable research on traffic congestion from different perspectives, they have not yet formed a consensus on the definition of the connotation of traffic congestion.Traffic congestion arises along with the road traffic system, which is a complex system composed of people, vehicles, and roads[63,64]. During the operation of the transportation system, the various components are coordinated with each other, but congestion occurs when the dynamic changes in various components, their interactions are unbalanced, and their work is not coordinated.The traffic state is an objective reflection of the traffic flow, that is, the traffic state and the traffic flow characteristic index are essentially a mapping relationship[65][66][67]. As the existing congestion identification methods are all based on the movement regularity of traffic flow as the breakthrough point, through the statistical characteristics of traffic flow…”

mentioning

confidence: 99%

See 1 more Smart Citation

Method for Identifying the Traffic Congestion Situation of the Main Road in Cold-Climate Cities Based on the Clustering Analysis Algorithm

Pei¹,

Cai²,

Li³

et al. 2021

Sustainability

View full text Add to dashboard Cite

Congestion has become a common urban disease in countries worldwide, with the acceleration of urbanization. The connotation of the congestion situation is expanded to describe, in detail, the traffic operation status and change characteristics of the main road in cold-climate cities and to provide more comprehensive identification methods and theoretical basis for cold-climate cities. It includes two aspects: the state and trend. A method to distinguish the traffic congestion state level and trend type of the main road in cold-climate cities is proposed on the basis of density clustering, hierarchical clustering, and fuzzy C-means clustering, and the temporal and spatial congestion characteristics of the main roads of cold-climate cities are explored. Research results show that we can divide the traffic congestion state into three levels: unblocked, slow, and congested. We can also divide the congestion trend into three types: aggravation, relief, and stability. This method is suitable for the identification of the main road’s congestion situation in cold-climate cities and can satisfy the spatiotemporal self-correlation and difference test. The temporal and spatial distribution rules of congestion are different under different road conditions, the volatility of the congestion degree and change speed on snowy and icy pavements, and the instability of congestion spatial aggregation are more serious than that on non-snowy and non-icy pavements. The research results are more comprehensive and objective than the existing methods.

show abstract

Section: Conceptual Backgroundmentioning

confidence: 99%

mentioning

confidence: 99%

Method for Identifying the Traffic Congestion Situation of the Main Road in Cold-Climate Cities Based on the Clustering Analysis Algorithm

Pei¹,

Cai²,

Li³

et al. 2021

Sustainability

View full text Add to dashboard Cite

show abstract

“…About these problems [2]. According to the opinion [15] in an article entitled Dimensionalizing Cultures: The Hofstede Model in Context, stated in his research that 5 characteristic models have been successfully identified to measure culture in a cross-country society.…”

Section: Literature Reviewmentioning

confidence: 99%

Information System Performance in Digitalization Era

Hsin

meng

2021

JEBI

View full text Add to dashboard Cite

During a pandemic like now, digitization and the police have become a continuous collaboration The importance of the existence of the police is increasingly needed by a society that is increasingly developing and facing increasing social problems. The traffic police unit for the city of Samarinda is a special unit that is generally involved in the field of vehicle discipline, in that it is always ready to serve the community, especially during the pandemic. For services provided to the community, of course, not all can be covered well, given the situation and conditions of the regions that are experiencing rapid development. Thus, the importance of fulfilling the internal factors of optimal human resources in the traffic unit of the Samarinda Police also needs attention. Through the use of leadership style variables, organizational learning, and job satisfaction, then it will be measured the individual performance achievement which is also the performance of the organization. Respondents taken in the sample of this study were the entire population of members of the Samarinda Traffic Police, totaling 108 members. The use of questionnaire media is a measuring tool used in further analysis in the SEM PLS model to answer the research hypothesis. Thus, it is therefore more relevant to the use of the conceptual model of investigating the relationship between constructs using confirmatory factor analysis (CFA). This study also contains a discussion of the theory and results of empirical studies.

show abstract

“…However, existing studies pay less attention to the spatiotemporal patterns of traffic congestion for regional expressway networks. Instead, they mainly focus on the traffic congestion of urban roads and have developed various methods to identify [10][11][12][13][14][15][16], predict [17][18][19][20][21], and analyze [22][23][24][25][26][27][28][29] urban traffic congestion. Compared with urban traffic congestion, there are fewer studies that focus on traffic congestion in expressways.…”

Section: Introductionmentioning

confidence: 99%

A Method for Exploring and Analyzing Spatiotemporal Patterns of Traffic Congestion in Expressway Networks Based on Origin–Destination Data

Gao

Yan

et al. 2021

IJGI

View full text Add to dashboard Cite

Traffic congestion in expressway networks has a strong negative influence on regional development. Understanding the spatiotemporal patterns of traffic congestion in expressway networks is critical for improving the exchange of products in regional production and promoting regional economic development. Nevertheless, existing studies pay less attention to these spatiotemporal patterns of traffic congestion. Considering that Origin–Destination (OD) data are available for the recorded spatial movements of vehicles in expressways, this study proposes a method with which to explore traffic congestion at the level of road segments in the regional expressway network, the mainstream of driving behaviors, and traffic regulations. Methods for analyzing spatial disparity and temporal changes in traffic congestion in expressway networks are also put forward in this paper. The empirical results show that the proposed methods could detect road segments where traffic congestion happens, and then uncover temporal patterns of several congested locations and spatial patterns of road segments with frequent congestion. These spatiotemporal patterns of traffic congestion could be in accord with the actual situation. This study provides a new approach to investigating traffic congestion in expressway networks based on low-cost data, which might be helpful for optimizing expressway network planning and promoting balanced regional development.

show abstract

Discovering traffic congestion through traffic flow patterns generated by moving object trajectories

Cited by 23 publications

References 13 publications

Method for Identifying the Traffic Congestion Situation of the Main Road in Cold-Climate Cities Based on the Clustering Analysis Algorithm

Method for Identifying the Traffic Congestion Situation of the Main Road in Cold-Climate Cities Based on the Clustering Analysis Algorithm

Information System Performance in Digitalization Era

A Method for Exploring and Analyzing Spatiotemporal Patterns of Traffic Congestion in Expressway Networks Based on Origin–Destination Data

Contact Info

Product

Resources

About